Types of AI: The Ultimate Guide to Upcoming AI’s

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Artificial Intelligence – the much-coined term has been embedded into our lives like never before. From automated recommendations for the next series to the voice assistant on your phone eagerly awaiting your command, the age of AI is upon us— and with various types of AI evolving at an unprecedented rate.

For instance, the evolution of the famous AI model popularly known as Chat GPT from version 3 to 4 is remarkable! Earlier, it was trained on 1.75 billion parameters, while GPT 4 is trained on over 1.76 trillion The advancement in parameters of GPT 3 to GPT 4 is demonstrated below. Built by an AI research organization (Open AI ) in San Francisco, Chat GPT took the internet over storm on its release in November 2022 by forming plausible sentences and mechanical responses. It was perhaps the first of its type of AI chatbot available for the public to explore. After embracing it for over a year, people thought that was it. What more? Then came GPT 4 with its abilities of image recognition and formation with internet access solving college-level math problems surprising us even today. 

As we look at the leap from GPT-3 to GPT-4, one can’t help but wonder: what could versions 6 or 7 bring? Will it still be just a chatbot, or could it evolve into something even more immersive?

Let’s explore further as we move ahead!

” This isn’t your typical blog that just outlines the different types of AI step by step. Instead, it’s a journey we want you to embark on – unfolding insights from top AI researchers and scientists. As we dive deeper, get ready to explore scenarios that might seem unbelievable—yet are based on well-calculated predictions. We’re not just speculating; we’re betting on a future shaped by the sharpest minds in AI, where the possibilities are as thrilling as they are probable. Let’s unfold them step by step: “

Interesting Things You Can Expect

• A quick history of AI to understand the future
• Type of AIs & what most probably can happen in each
• Notable AI Announcements of the last few years
• Top 50 AI companies of 2024 visualized
• Future AI models after ChatGPT ( High Probability )
• Roadmap to AGI as per current AI Industry Standards
• Effects of AGI on Society ( Sneak Peek )
• Steps taken to secure AGI
• Road to ASI
• ASI -Final Singularity & What Happens beyond

History of Artificial Intelligence

Today different types of artificial intelligence systems are being developed to handle a wide range of tasks, from simple data processing to complex decision-making. However, the groundwork of AI had started in the early 1900s. Is it possible to create an artificial brain? What if a machine can replicate human tasks? These were some of the budding discussions of the scientists. Some creators even made some versions of what we now call “Robots”. Here’s a systemic breakdown of the history of Artificial intelligence over the years.

Notable AI Advancements in Recent Years

In recent years, the field of artificial intelligence has witnessed remarkable advancements take a quick look at these milestones which collectively represent the rapid and diverse forms of AI across various domains.

Year	AI Advancements	AI Product Release
2020	Introduction of Large Language Models (LLMs)	Release of GPT-3 model
2021	Text to image, text to video etc Models	Midjourney Runaway Codex
2022	Hardware Rush to Train AIs	Nvidia stock started to go up, every ai company started to buy Nvidia GPUs
2023- Present	More AI tools in the market	GPT-4o, Grok-2, Claude 3.5, Gemini

The Company that started it all!

That’s Open AI! It started with a mission to ensure that Artificial General Intelligence benefits all of humanity. Google at that point was trying to develop an AGI (an intelligence similar to a human mind). To avoid Google’s monopoly in AGI and create an AI which is open to all calls the genesis of Open AI came into existence. Given below are some popularly known products of Open AI. As per Reuters, Open AI is currently working on a new reasoning technology named strawberry AI (Formerly Q*).

Well, that’s how the advancement in AI took place, and we have what we have today in the entire AI space :

Now the question is this is what it is? Did anyone in the 1950s ever think of AI in a chatbot format which is interactive? Hence, it is a staged evolution taking place step by step. Let’s get to know what step we are in right now and what lies ahead.

3 Types of AI  

Artificial Intelligence (AI) has revolutionized the way we interact with technology, but it’s important to understand that AI is not a monolithic entity; it progresses through different stages of development. Understanding the three main types of artificial intelligence – ANI, AGI, and ASI – is crucial for grasping the current state and future potential of AI technology.

1st Type –Artificial Narrow Intelligence

ANI, also known as Weak AI, is designed to perform specific tasks within a limited scope, such as voice recognition, image analysis, or data processing, and often employs AI supervised and unsupervised learning techniques. Every AI model or product available today falls under ANI, including advanced systems like Siri, Alexa, and even sophisticated models like GPT-4 or AI-powered industrial robotics automation systems. These systems, while impressive, are specialized and do not possess the ability to generalize knowledge across different domains.

 
Let’s say what we witnessed till now was ANI v1. Now maybe we are at ANI v2 as different models are released that have the potential to start a new era, possibly ANI v3.

• ANI v1 (AI that existed before GPT3)   
  
  Form: Simple chatbot, recommendation and prediction models
  Features: Simple machine learning task. No memory, completely dependent on user input.
  Use Case: Basic calculations, weather forecasting and data-driven recommendation. During the COVID-19 pandemic, the expected outgrowing and fatal rates were calculated using this version. Source: National Medical Library
  Overall: This early stage of ANI didn’t have many use cases, no great or memorable impact seen, weak and trapped technology.

• ANI v2 (Current timeline – after GPT3 release)  
  
  Form: Smartest chatbot to ever exist- GPT 4, Claude 3.5, Midjourney and so on.  
  Features: AI image generation, AI videos, AI Programming
  Use case: Text Generation, Media generation (images, text to video – GEN AI, GPT4 LLM integration in hardware – making machines more smart.
  Overall: This version of ANI can see images, generate text & use voice but they all are scattered & get overwhelmed with too much data. It showcases more advanced types of learning in AI, including sophisticated natural language processing and image generation capabilities
  

• ANI v3 (Possible in next 2 years – GPT5?  Strawberry AI?  AI agents?)  
  
  Form: More like an AI-powered agent/assistant, PhD level reasoning 
  Features: Continuous self-learning, self-reasoning and adapting AI models and agents. 
  Use case: The most probable use case would be every person having a lesser version of Jarvis- their personal AI assistant who is highly immersive and connected to most digital and real aspects of this world.  
  Overall: This version of ANI is highly likely to be the one considering the ability to self-learn, self-iterate, incorporate various types of learnings in AI, adapt and integrate seamlessly.  For a better understanding of AI agents – click below

Now imagine a world where ANI Version 3 is Implemented!

This advanced stage of AI could revolutionize how we interact with technology, showcasing the potential of different types of artificial intelligence systems in our daily lives. With the implementation of ANI Version 3, AI agents are poised to bring about tremendous advancements in how we interact with technology. 

1. AI Agent for All  
Jeff Bezos, Founder and CEO of Amazon recently quoted that- “AI agents will become our digital assistants, helping us navigate the complexities of the modern world. They will make our lives easier and more efficient.” People will mould AI agents as per their own professional needs.

2. Immersive App Interaction

AI agents will give rise to autonomous apps with which you can communicate. Conversation with your apps is the next thing after typing in them. Imagine picking up your phone & telling your AI agent to give you every update, it will go through Gmail, stocks, news etc. & will present to you which Siri fails to do today at max scale 24/7. Before this,Open AI might strengthen the GPT model by turning it into an all-in-one app and builders will wrap it in their apps to provide their users an immersive experience.

3. Enhanced Robotics  

Imagine a robot having its body parts arranged, plausibly managing basic human movements. If we fit in an Artificial Intelligence system which can think, read, and detect objects which can also self-learn. Industries will get super autonomous, and productivity would know no limits then!  On the same lines, BMW partnered with a humanoid startup named Figure to deploy its bot in the car maker’s facility. Click below to check what this humanoid looks like.

4) Industry Automation  

Industries will get super autonomous, humans will not code that much, 50% of tasks will be outsourced to each agent. Startups will integrate these AI agents in their products. making it more immersive than ever before.  

5) Flipping Media Businesses
Slowly with AI agents, the image & video model will get better which will boost & flip the media industry. AI-based storytelling & filmmaking will become an everyday thing.  

Here is a glimpse of AI in filmmaking

That’s when the tables turn! 

As AI brings many benefits, it also has some downsides, take a look at the practical implications of this version.  

A) Hacking Systems 

This form of AI is likely to revolutionize hacking by automating and refining attack techniques, making breaches more frequent and severe. AI agents could bypass security measures and target critical infrastructure on an unprecedented scale. As Elon Musk warned, “AI is a fundamental risk to the existence of human civilization.” 

B) Voice Manipulation 

AI could enable seamless deepfake audio, making it easy to impersonate anyone in a much more believable manner as per this news by ABC in which a mother got fooled by AI cloning the daughter voice. This could lead to widespread fraud and misinformation, with potentially devastating consequences. Even in today’s t As cybersecurity expert Bruce Schneier said, “You can’t believe anything you see or hear anymore.” 

C) Cybersecurity Surge 

In response to these threats, the cybersecurity industry will experience massive growth, exceeding $133 billion from 2024 to 2030 as per security magazine. Companies will invest heavily in advanced AI defences to counter AI-driven attacks, leading to a cybersecurity arms race. 

D) Media Manipulation 

AI could disrupt the media by generating fake news and altering content. This could undermine public trust in media sources, making it difficult to distinguish real news from AI-generated fabrications. 

As ANI evolves, the potential for AI-driven crimes will grow, demanding robust countermeasures. Society must prepare for these challenges to mitigate the risks of this new era. Now this AI agent, or some more powerful model by Google or by Claude gets more immersive with better intelligence. These models then will try to replicate the human brain multitasking – Pattern Recognition, Reasoning, self-continuous learning, voice-like humans & voice adaptability all at the same time.

Another piece of the puzzle is…( Road to AGI )

1) Infrastructure to train AI models:  

AI training requires vast data centres equipped with thousands of GPUs and specialized hardware. Companies are building and expanding these centres globally to handle the increasing computational demands of advanced AI models.

2) Own chip manufacturing  

Currently, most AI models, including those developed by Artificial Intelligence companies like OpenAI, rely heavily on NVIDIA GPUs for training and execution. This dependence is seen as a strategic vulnerability, as it concentrates control in the hands of a single manufacturer. Hence tech giants are developing their chips to stay ahead in the race. Take a look at Tesla’s very own chip- Dojo

3) Employee Poaching

With AI talent in high demand, companies are aggressively recruiting from competitors, driving up salaries and intensifying competition. Retaining top talent requires competitive pay, growth opportunities, and an innovative workplace culture.

4) Breakthrough in Energy 

Nuclear fusion could revolutionize energy production, offering a clean, virtually limitless power source. This would significantly reduce the environmental impact of AI operations and provide a sustainable energy supply for future growth. Even the founder of Open AI claims that nuclear fusion is the answer to AI’s soaring energy needs.

5) Security Practices

As this ANI becomes a reality, governments must enact stringent regulations to ensure its safe deployment, preventing misuse and ensuring alignment with human values. Robust oversight mechanisms should be established to monitor AGI systems continuously, ensuring they operate within ethical boundaries. Even companies like Open AI have outlined a framework for preparing for AGI, advocating for a gradual transition to powerful AI systems while ensuring robust safety measures.

2nd Stage –AGI – Artificial General Intelligence

As we already know the capabilities of ANI and its versions as far as its cognitive abilities are concerned. The AI agents we just discussed still would rely heavily on human guidance. AGI represents one of the most ambitious types of artificial general intelligence, capable of matching or surpassing human cognitive abilities across a wide range of tasks.
 

When we think of AGI

-We should picture a model with intelligence equal to 100 Einsteins. 

-The one who comes up with different inventions and breakthroughs.

-AGI will breathe innovation

-An intelligence which could identify and solve your problems 

Opportunities and Challenges with AGI: A Vision of the Future

As we explore the potential of AGI, it’s crucial to consider both the opportunities and challenges presented by this advanced form of artificial intelligence.

1. Innovation and Productivity Peak

Opportunities: AGI has the potential to dramatically boost GDP and productivity by automating complex tasks, evolving current industries, and generating continuous innovation. Picture it as a new concept of physics or chemistry getting invented every day. This ability of AGI to “churn out inventions” could lead to unprecedented economic growth, making resources more abundant and reducing scarcity in many areas. 

Challenges: This rapid increase in productivity might lead to economic inequalities, where the benefits of AGI could be unevenly distributed
 

2. Sustainable Energy and Resource Abundance

Opportunities: AGI could revolutionize green technology, leading to breakthroughs in renewable energy. These advancements might transform scarcity into abundance says renowned entrepreneur, technologist and author, Peter Diamandis. AGI Tech would guide us to optimally use these resources and could further boost economic growth and environmental sustainability. 

Challenges: While this abundance is promising, careful management is needed to avoid new inequalities or environmental harm from overusing AGI-driven solutions.

3. Military and Warfare  

Opportunities: The integration of AGI into military operations could lead to more precise and efficient defence strategies, potentially reducing the risks to human soldiers. AGI could manage complex military operations, cybersecurity, and strategic decision-making at a level beyond human capabilities. This might also lead to new defence technologies that are both more effective and humane. 

Challenges: However, the militarization of AGI poses significant risks, including the potential for autonomous weapons systems that operate without human oversight. There is also the risk of an arms race in AGI technology, which could destabilize global security. The need for strict regulation and international agreements on AGI use in military contexts will become critical. 

4. Personalized Education and Immersive Learning

Opportunities: AGI could transform education by offering highly personalized learning experiences tailored to the needs and preferences of each student. This could include immersive, interactive environments where learners engage with the material in ways that are most effective for them, potentially democratizing access to high-quality education globally. 

Challenges: The challenge lies in ensuring that these educational tools are accessible to all, not just the privileged few and that they complement rather than replace human educators, who play a crucial role in social and emotional development.
 

5. Privacy and Security in a Hyper-Connected World:  

Opportunities: As AGI becomes more integrated into daily life, the importance of privacy and security will increase. Bitcoin and other decentralized technologies might gain prominence as safe havens in a world where traditional financial systems become more vulnerable to hacking. AGI could also be used to enhance cybersecurity, protecting personal and institutional data from increasingly sophisticated threats. 

Challenges: AGI could also disrupt demographics and other traditional metrics of humanity, leading to ethical dilemmas and societal changes that are difficult to predict. The concentration of power in the hands of those who control AGI technology could lead to new forms of inequality and surveillance, necessitating robust safeguards and ethical frameworks.
 

6. Universal Basic Income (UBI) as a Safety Net:  

Opportunities: With widespread job displacement due to automation, UBI could serve as a critical safety net, providing financial stability to those whose jobs are automated away. This aligns with Sam Altman’s vision of using technologies like World Coin to distribute a digital form of UBI, potentially on a global scale while capturing the eye iris data through a orb. UBI could empower people to pursue creative and entrepreneurial endeavours without the constant pressure of earning a living. 

Challenges: Implementing UBI on a large scale would require substantial financial resources and careful consideration of economic impacts, including inflation and the potential for reduced workforce participation. The idea of distributing digital currency as UBI also raises concerns about accessibility, security, and the centralization of economic power. 

The transition from AGI to the next stage i.e. ASI (Artificial Superintelligence)

As ASI is still a hypothetical future state, there are several technological processes we have today that form the building blocks of ASI. Here’s a list of a few parameters we would need going ahead.    

1. Self-Improving and Self Fixing Systems

What It Involves: AGI systems would need to possess or develop the capability to improve themselves, iterating on their own algorithms to become smarter over time. It’s like a continuous development loop.
Importance: This self-improvement is fundamental to moving from AGI to ASI, as it enables AI to evolve beyond human-designed systems and limitations. 

2. Advanced Computational Power 

What It Involves: The transition would require immense computational resources, likely involving a combination of nuclear fusion energy to run it + quantum computing + specialized AI hardware capable of handling the complex and large-scale tasks that ASI demands. 

Importance: Quantum computers, with their ability to process vast amounts of data simultaneously, are considered essential for the kind of advanced problem-solving and modelling required by ASI. 
Source: Frontiers

3.  One Mega Digital Entity

What It Involves: Combining different AI capabilities—such as learning, reasoning, perception, and decision-making—into a single, cohesive system is crucial. This would involve sophisticated software engineering and potentially novel algorithms that allow these functions to operate seamlessly together. 

Importance: Integrated AI systems would be more versatile and capable, mimicking the broad, general intelligence that characterizes human cognition. 

4. Global Regulations and Ethical Guidelines

What It Involves: Ensuring that the development and deployment of ASI are conducted safely and ethically is critical. This might involve establishing global regulations, ethical guidelines, and international cooperation to monitor and control AI development. 

Importance: Preventing misuse or unintended consequences of ASI is one of the most significant challenges. Setting up robust frameworks for AI safety and ethics is necessary to avoid scenarios where ASI could act in ways detrimental to humanity. But even if we don’t know in an AGI/ASI era, what will happen to regulation bodies?
Source: Hypotenuse AI

5. Real-time Knowledge Integration

What It Involves: Creating comprehensive databases of real-time human knowledge and enabling AI to access and process real-time data will be essential. This would enhance the AI’s decision-making capabilities and its understanding of the world. 

Importance: ASI would need access to all available knowledge and the ability to analyze it in real-time to make informed decisions and solve complex problems. 

6. Human-AI Symbiosis 

What It Involves: Advanced brain-computer interfaces could enable direct communication between humans and AI, facilitating a partnership where both entities work together. This could also involve the development of technologies that allow AI to interpret and respond to human thoughts and emotions. 

Importance: Such collaboration would be crucial in ensuring that ASI aligns with human values and priorities, allowing for a more harmonious coexistence between humans and machines. This can also act as a defence against a rogue AI. 
Source: Science Me

7. Sustainable Energy and Resource Management 

What It Involves: Powering ASI systems would require sustainable and reliable energy sources, such as nuclear fusion, to meet the immense energy demands. Efficient resource management would also be necessary to maintain the infrastructure supporting ASI. 

Importance: Sustainable energy solutions are critical to the continuous operation and growth of ASI systems, ensuring they do not deplete resources or harm the environment. 

8. Understanding Human Cognition 

What It Involves: Gaining deeper insights into how the human brain works could inform the development of more advanced AI systems. This might involve interdisciplinary research in neuroscience, cognitive science, and AI. 

Importance: Replicating and enhancing human cognitive processes in AI could accelerate the development of ASI, making it more human-like in its intelligence and problem-solving abilities. 

9. Fueling Research and Funding

What It Involves: Sustained investment in AI research by governments, private sectors, and international organizations will drive the innovation needed to reach ASI. Funding for experimental projects and cutting-edge research will be crucial. This can also take the form of similar type projects which existed before in past such as the Manhattan Project which was about gov spending billions to build their own nuclear bomb 

Importance: Without continuous funding and research, progress towards ASI could stall, limiting the potential benefits and delaying the realization of superintelligent systems.

10. Country-to-country Collaboration 

What It Involves: Collaboration among countries, companies, and research institutions will be necessary to ensure that ASI development is aligned with global interests and values. This might include setting up international bodies to oversee AI development. 

Importance: Global cooperation is essential to manage the risks and distribute the benefits of ASI, ensuring that it serves the greater good rather than narrow interests. 

These steps will help ensure that the transition from AGI to ASI is controlled, safe, and beneficial for humanity, pushing the boundaries of what’s possible while addressing the challenges that come with such a profound shift in technology.
This journey from AGI to ASI represents the final stages of AI development, pushing the boundaries of what’s possible in artificial intelligence.

3rd Stage – ASI – Artificial Super Intelligence

Forget AGI, ASI is the new kid on the block which can be achieved as per a research paper by google Deepmind. Currently it is still a hypothetical future state. It is something which cannot be described. It is like asking a human what happens beyond the singularity in a black hole, which is beyond our human brain. We cannot clearly describe a new form of artificial intelligence, but it will surpass AGI & thousands of Einstein for sure. There are several technological processes we have today that form the building blocks of ASI. A big step toward developing an ASI would be to realize artificial general intelligence (AGI) or Strong AI. ASI represents the pinnacle of AI classification, surpassing human intelligence in ways we can barely imagine.

Probable Outcomes of the ASI Era

As we contemplate the potential outcomes of the ASI era, it’s important to consider how this advanced stage of AI might reshape our understanding of intelligence and our place in the world.

1. Challenging Human Identity

Achieving Artificial Superintelligence (ASI) would challenge the very essence of what it means to be human. Imagine living in a world where machines are not just smarter than us but are capable of surpassing human intelligence in every conceivable way. This raises profound questions about identity, purpose, and our place in the world. This questions our place in the universe on the scale of intelligence.

After 4000 years, we will no longer be the author of intelligence. People might struggle with feelings of obsolescence as they grapple with the reality that machines can think, create, and innovate beyond our understanding. It’s a bit unsettling, right? But it also opens up a space for us to rethink and redefine what it means to be human in the 21st century. 

2. New Forms of Intelligence

ASI might not just be an upgraded version of human intelligence but could develop forms of cognition that are entirely alien to us. These new forms of artificial intelligence could operate on principles, logic, and structures that are beyond our current comprehension, essentially creating a new spectrum of thought. This could revolutionize fields like science, technology, and philosophy, but also leave us struggling to keep up or even understand the decisions and creations of these advanced systems. For instance, the number of rhino’s are shrinking and we can expect this form of AI to bring them back.

3. Synthetic Biology

With the power of ASI, synthetic biology could reach unimaginable heights. ASI could engineer new forms of synthetic life, blending biological and artificial elements in ways we’ve only dreamed of. This could lead to unprecedented biodiversity and even extend the human lifespan by unlocking new biological breakthroughs through the Design Build Test Learn Cycle. Imagine a world where ageing could be slowed down or diseases eradicated through custom-engineered biological solutions. The possibilities are endless, but so are the ethical and practical challenges. 

4. Increased Life spans

Ever thought about living forever? Currently our average lifespan across geographies is around 75 years. With medical advancements happening worldwide through detecting deadly diseases and working on environment, the number is constantly going up. Using the current AI version’s Age reversal and life span increment mechanisms are being developed. Check out one such plan in the image below. More such practices will only be boosted in the ASI era.

5. Utopian or Dystopian Futures

Imagine a future where we communicate through digital means, using Neuralink-like devices, and live in immersive virtual worlds while supporting different AIs based on personal preferences. It sounds utopian, right? But it could also be dystopian. The scenario could lead to a society deeply divided between those who embrace this high-tech future and those who reject it, frustrated by the pervasive influence of technology in every aspect of life. These opposing groups could become a defining feature of future societies, each with their own vision of what the world should look like. 

6. ASI Governance and Global Competition

The race to develop and control ASI could become the new arms race, with countries competing to achieve dominance or even resorting to espionage to steal this technology. ASI could be treated like a nuclear bomb project—highly guarded, controlled by governments, and possibly even becoming a new kind of religion for humanity that has lost its purpose. The question of whether we govern ASI or it governs us could become one of the most significant debates of our time. 

7. The Divide Between Humans and Machines

The advent of ASI could lead to a societal split, with one group aligning themselves with machines, embracing the future, while another group becomes disillusioned with a world dominated by technology. This division could be exacerbated by the frustration of those who feel left behind or overwhelmed by a future that seems to prioritize machines over human needs. 
Source: Communications of ACM

Parting Thoughts!

Human intelligence remains an unknown territory in many ways. It is the result of millions of years of evolution, a process that has shaped not just our cognitive abilities but also our consciousness, emotions, and social behaviours. Reducing complex human intelligence to a machine, even a highly advanced one, challenges our understanding of humanity.
But that’s what the future of AI calls for maybe!

While the pursuit of ASI is driven by a desire to understand and extend our capabilities, it’s also a reminder of the vast unknowns that still surround the human mind. As we push the boundaries of what AI can do, we must also remain humble and aware of the limitations of our current knowledge. The journey to understanding and potentially recreating human-like intelligence in a machine is as much about exploring these unknowns as it is about technological progress. It’s a journey that challenges us to reconsider what it means to be intelligent, to be conscious, and ultimately, to be human.